Data Warehouse Solution Use Cases
Solving the challenges of data analytics
Traditional data warehouses have not kept up with the demand for data and analytics. And big data solutions come with complexities and limitations to meet the data-driven needs of today’s organizations. Snowflake offers a data warehouse solution built for the cloud, one designed for the performance, simplicity and concurrency needed for modern data analytics.
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Data warehouse modernization
Take advantage of a modern architecture that brings together all your data in one place and makes it available to all your users and applications.
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Business intelligence acceleration
Deliver rapid data insights to analysts at any scale of data, workload, and concurrency without needing to manually tune and optimize a database.
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Data analytics applications
Build innovative applications incorporating data analytics that scale and adapt automatically.
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Data lake
Easily and affordably combine diverse data for exploration, experimentation and refinement without sacrificing performance.
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Hadoop replacement
Simplify data infrastructure with a single, high-performance solution for staging, transforming, and querying diverse data.
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Data Sharing
Seamlessly share data both inside and outside of your organization without copying, transferring or manually transforming data.
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Case Study
PDX delivers insight as a service using Snowflake
Learn why PDX chose Snowflake to power its next-generation analytics service for pharmacies.
Case Study
CapSpecialty gains exponential Increase in speed
Read how CapSpecialty accelerated its analytics by up to 200x with Snowflake.
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Snowflake has rid Chime of the restriction of a rigid data modeling world, allowing for a much faster pace of business and far greater efficiencies for our small technology team.
– Ethan Erchinger, Director of Operations at Chime
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Snowflake’s unique architecture enables all of our teams to work with data in one system, without impacting performance and without DBA experience.
– Josh McDonald, Director of Analytics Engineering, KIXEYE
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We went from using 14 technologies to a stack of four powerhouses — AWS, Snowflake, Fivetran and MicroStrategy – all managed by a single person.
– Joseph Bates, Head of Analytics, ShareThrough
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We feel very confident that whatever we run into, we’ll scale Snowflake to meet the performance requirements of our pharmacy customers.
– John Foss, Director of Business Intelligence at PDX
Fast Track to Analytics
Snowflake’s data warehouse built for the cloud simplifies and accelerates the path to delivering analytics value from data. Learn how in our Solution Brief.